Add medical genetic solutions to RESOLUTE REsolution
Solute carriers (SLCs) are the largest family of membrane transporters encoded in the human genome and their role in trafficking nutrients, ions, vitamins and cofactors is vital for maintaining homeostasis in individual cells, org...
ver más
¿Tienes un proyecto y buscas un partner? Gracias a nuestro motor inteligente podemos recomendarte los mejores socios y ponerte en contacto con ellos. Te lo explicamos en este video
Información proyecto REsolution
Duración del proyecto: 31 meses
Fecha Inicio: 2021-05-18
Fecha Fin: 2023-12-31
Fecha límite de participación
Sin fecha límite de participación.
Descripción del proyecto
Solute carriers (SLCs) are the largest family of membrane transporters encoded in the human genome and their role in trafficking nutrients, ions, vitamins and cofactors is vital for maintaining homeostasis in individual cells, organs and tissues. Their misfunction is associated with a variety of diseases and a small number of individual SLCs are successful drug targets. Despite their importance, SLCs remain understudied and a surprisingly large proportion is deemed orphan in terms of transport function. The ongoing RESOLUTE IMI consortium is working on the systematic de-orphanization of SLCs and is highly successful in creating open-access tools, high-throughput assays and omics data. This effort is focused on basic aspects of SLC biochemistry and biology and was not meant to include the medical dimension. In the REsolution program we propose here, we exploit the unique opportunity to now link the RESOLUTE knowledge to physiology and disease through human genetics. The goal is to maximize the chances that SLC transporters will become successful drug targets and use the growing amount of data becoming available on genetic variations and disease association to assign pathophysiological relevance to individual transporters. Concretely, we plan to: 1) assemble human SLC genetic information and annotate within the RESOLUTE knowledgebase; 2) study the structure-activity relationship for selected SLC variants, 3) use deep mutagenesis and artificial intelligence to develop the equivalent of a Rosetta stone allowing the interpretation of SLC genetic variation. This will allow us to not only contextualize SLCs, as elucidated by RESOLUTE, in the current human medical genetics landscape, but also to create an SLC prioritization rationale and a resource of the whole SLC family for the pharmaceutical industry valid for years to come.